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Control and Optimization Using Digital Twins: Principles and Case Studies

In: Digital Twins for Simulation-Based Decision-Making

Author

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  • Aditya A. Paranjape

    (Monash University)

Abstract

Digital twins are fast becoming an essential technology for decision-making at every level in the industry in the face of uncertainty, competition, and rapid developments in technology. The increasing modeling complexity can hinder rapid, verifiable decision-making, which we seek to address using what we refer to as control-oriented digital twins. Control-oriented digital twins are created by applying model order reduction techniques and multi-modeling approaches to full-scale models. The purpose of this chapter is to review the principles underlying model order reduction and multi-modeling. These techniques are illustrated through two case studies, one based on a chemical industrial plant and one based on a social system.

Suggested Citation

  • Aditya A. Paranjape, 2025. "Control and Optimization Using Digital Twins: Principles and Case Studies," Springer Books, in: Vinay Kulkarni & Tony Clark & Balbir S. Barn (ed.), Digital Twins for Simulation-Based Decision-Making, chapter 0, pages 15-32, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-89654-5_2
    DOI: 10.1007/978-3-031-89654-5_2
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